The HEA AWS S3 bucket files service.
Project description
HEA Server AWS S3 Bucket Files Microservice
Research Informatics Shared Resource, Huntsman Cancer Institute, Salt Lake City, UT
The HEA Server AWS S3 Bucket Files Microservice manages files in AWS S3 buckets.
Version 1.1.1
- Display type display name in properties card, and return the type display name from GET calls.
Version 1.1.0
- Pass desktop object permissions back to clients.
Version 1.0.8
- Changed presented bucket owner to system|aws.
- Omitted shares from the properties template.
Version 1.0.7
- Added support for uploading files to storage tiers other than STANDARD.
Version 1.0.6
- Prevent potential corruption when getting a file's content.
Version 1.0.5
- Addressed issue where downloads start failing for all users if one user interrupts their download.
Version 1.0.4
- Addressed potential failures to connect to other CORE Browser microservices.
Version 1.0.3
- Addressed potential exception while unarchiving objects.
- Addressed issue preventing copying and moving unarchived files.
Version 1.0.2
- Allow unarchived S3 objects to be downloaded.
Version 1.0.1
- Define a default value for archive storage class.
- Improved performance.
- Respond with the correct status code when an object's storage class is incompatible with downloading.
Version 1
Initial release.
Runtime requirements
- Python 3.10 or 3.11
Development environment
Build requirements
- Any development environment is fine.
- On Windows, you also will need:
- Build Tools for Visual Studio 2019, found at https://visualstudio.microsoft.com/downloads/. Select the C++ tools.
- git, found at https://git-scm.com/download/win.
- On Mac, Xcode or the command line developer tools is required, found in the Apple Store app.
- Python 3.10 or 3.11: Download and install Python 3.10 from https://www.python.org, and select the options to install for all users and add Python to your environment variables. The install for all users option will help keep you from accidentally installing packages into your Python installation's site-packages directory instead of to your virtualenv environment, described below.
- Create a virtualenv environment using the
python -m venv <venv_directory>command, substituting<venv_directory>with the directory name of your virtual environment. Runsource <venv_directory>/bin/activate(or<venv_directory>/Scripts/activateon Windows) to activate the virtual environment. You will need to activate the virtualenv every time before starting work, or your IDE may be able to do this for you automatically. Note that PyCharm will do this for you, but you have to create a new Terminal panel after you newly configure a project with your virtualenv. - From the project's root directory, and using the activated virtualenv, run
pip install wheelfollowed bypip install -r requirements_dev.txt. Do NOT runpython setup.py develop. It will break your environment.
Running tests
Run tests with the pytest command from the project root directory. To improve performance, run tests in multiple
processes with pytest -n auto.
Running integration tests
- Install Docker
- On Windows, install pywin32 version >= 223 from https://github.com/mhammond/pywin32/releases. In your venv, make sure that
include-system-site-packagesis set totrue. - A compatible heaserver-registry Docker image must be available.
- Run tests with the
pytest integrationtestscommand from the project root directory.
Trying out the APIs
This microservice has Swagger3/OpenAPI support so that you can quickly test the APIs in a web browser. Do the following:
- Install Docker, if it is not installed already.
- Have a heaserver-registry docker image in your Docker cache. You can generate one using the Dockerfile in the heaserver-registry project.
- Run the
run-swaggerui.pyfile in your terminal. This file contains some test objects that are loaded into a MongoDB Docker container. - Go to http://127.0.0.1:8080/docs in your web browser.
Once run-swaggerui.py is running, you can also access the APIs via curl or other tool. For example, in Windows
PowerShell, execute:
Invoke-RestMethod -Uri http://localhost:8080/awss3files/root/items -Method GET -Headers @{'accept' = 'application/json'}`
In MacOS or Linux, the equivalent command is:
curl -X GET http://localhost:8080/awss3files/root/items -H 'accept: application/json'
Packaging and releasing this project
See the RELEASING.md file for details.
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